How to connect Landbot.io and Microsoft SQL Server
Create a New Scenario to Connect Landbot.io and Microsoft SQL Server
In the workspace, click the “Create New Scenario” button.

Add the First Step
Add the first node – a trigger that will initiate the scenario when it receives the required event. Triggers can be scheduled, called by a Landbot.io, triggered by another scenario, or executed manually (for testing purposes). In most cases, Landbot.io or Microsoft SQL Server will be your first step. To do this, click "Choose an app," find Landbot.io or Microsoft SQL Server, and select the appropriate trigger to start the scenario.

Add the Landbot.io Node
Select the Landbot.io node from the app selection panel on the right.

Landbot.io
Configure the Landbot.io
Click on the Landbot.io node to configure it. You can modify the Landbot.io URL and choose between DEV and PROD versions. You can also copy it for use in further automations.
Add the Microsoft SQL Server Node
Next, click the plus (+) icon on the Landbot.io node, select Microsoft SQL Server from the list of available apps, and choose the action you need from the list of nodes within Microsoft SQL Server.

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Authenticate Microsoft SQL Server
Now, click the Microsoft SQL Server node and select the connection option. This can be an OAuth2 connection or an API key, which you can obtain in your Microsoft SQL Server settings. Authentication allows you to use Microsoft SQL Server through Latenode.
Configure the Landbot.io and Microsoft SQL Server Nodes
Next, configure the nodes by filling in the required parameters according to your logic. Fields marked with a red asterisk (*) are mandatory.
Set Up the Landbot.io and Microsoft SQL Server Integration
Use various Latenode nodes to transform data and enhance your integration:
- Branching: Create multiple branches within the scenario to handle complex logic.
- Merging: Combine different node branches into one, passing data through it.
- Plug n Play Nodes: Use nodes that don’t require account credentials.
- Ask AI: Use the GPT-powered option to add AI capabilities to any node.
- Wait: Set waiting times, either for intervals or until specific dates.
- Sub-scenarios (Nodules): Create sub-scenarios that are encapsulated in a single node.
- Iteration: Process arrays of data when needed.
- Code: Write custom code or ask our AI assistant to do it for you.

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Save and Activate the Scenario
After configuring Landbot.io, Microsoft SQL Server, and any additional nodes, don’t forget to save the scenario and click "Deploy." Activating the scenario ensures it will run automatically whenever the trigger node receives input or a condition is met. By default, all newly created scenarios are deactivated.
Test the Scenario
Run the scenario by clicking “Run once” and triggering an event to check if the Landbot.io and Microsoft SQL Server integration works as expected. Depending on your setup, data should flow between Landbot.io and Microsoft SQL Server (or vice versa). Easily troubleshoot the scenario by reviewing the execution history to identify and fix any issues.
Most powerful ways to connect Landbot.io and Microsoft SQL Server
Landbot.io + Microsoft SQL Server + Slack: When a new event is triggered in Landbot.io (e.g., a survey submission), the data is inserted as a new row into a Microsoft SQL Server database. Then, a summary of the feedback is sent to a designated Slack channel.
Microsoft SQL Server + Landbot.io + Google Sheets: When a lead's status is updated in a Microsoft SQL Server database, Landbot.io sends a personalized follow-up message to the lead. The results of the follow-up are then tracked by adding a new row in a Google Sheets spreadsheet.
Landbot.io and Microsoft SQL Server integration alternatives
About Landbot.io
Use Landbot.io in Latenode to build no-code chatbots, then connect them to your wider automation. Capture leads, qualify prospects, or provide instant support and trigger follow-up actions directly in your CRM, databases, or marketing tools. Latenode handles complex logic, scaling, and integrations without per-step fees.
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About Microsoft SQL Server
Use Microsoft SQL Server in Latenode to automate database tasks. Directly query, update, or insert data in response to triggers. Sync SQL data with other apps; simplify data pipelines for reporting and analytics. Build automated workflows without complex coding to manage databases efficiently and scale operations.
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FAQ Landbot.io and Microsoft SQL Server
How can I connect my Landbot.io account to Microsoft SQL Server using Latenode?
To connect your Landbot.io account to Microsoft SQL Server on Latenode, follow these steps:
- Sign in to your Latenode account.
- Navigate to the integrations section.
- Select Landbot.io and click on "Connect".
- Authenticate your Landbot.io and Microsoft SQL Server accounts by providing the necessary permissions.
- Once connected, you can create workflows using both apps.
Can I update my database with new chatbot leads?
Yes, you can! Latenode lets you automatically update your Microsoft SQL Server database with new leads captured in Landbot.io, ensuring real-time data synchronization with zero code.
What types of tasks can I perform by integrating Landbot.io with Microsoft SQL Server?
Integrating Landbot.io with Microsoft SQL Server allows you to perform various tasks, including:
- Storing chatbot conversation data directly into your database.
- Updating customer information in your SQL Server based on chatbot input.
- Triggering automated workflows based on specific chatbot interactions.
- Generating custom reports using chatbot data stored in Microsoft SQL Server.
- Personalizing chatbot experiences using data retrieved from SQL Server.
Can I use JavaScript code to transform Landbot.io data?
Yes! Latenode allows you to use JavaScript to manipulate Landbot.io data before inserting it into Microsoft SQL Server for enhanced data control.
Are there any limitations to the Landbot.io and Microsoft SQL Server integration on Latenode?
While the integration is powerful, there are certain limitations to be aware of:
- Complex data transformations might require advanced JavaScript knowledge.
- Large data volumes may impact workflow execution time.
- Real-time data synchronization depends on the Landbot.io API rate limits.